Do cultural orientations moderate the effect of online review features on review helpfulness? A case study of online movie reviews

The perceived helpfulness of online product reviews plays a critical role in consumers’ decisions in e-commerce. In this context, based on the literature on information processing and cultural effects, this study explored the role of review features in the perceived helpfulness of online movie reviews. A cross-cultural investigation (i.e., China cf. the United States (US)) was employed to identify high-vs. low-context cultural orientation and uncertain avoidance orientation as moderators. The results reveal that review length, timeliness, title sentiment, and emotional expressions are significant predictors of helpfulness for consumer reviews in China and the US. In addition, cultural differences between the two countries, that is, high-vs. low-context culture and uncertainty avoidance, moderated the relationships between review length, timeliness, title sentiments, and review helpfulness.     

Born Unequal: A Study of the Helpfulness of User-Generated Product Reviews

Online user-generated product reviews have become an indispensible tool for consumers and thus for retailers who want to attract and retain consumers. Yet, relatively little is known about what causes consumers to find an online peer review helpful to their shopping tasks. Prior research examines mostly the effects of product reviews on consumer product attitude, product choice, and product sales. This paper, however, provides an analysis of the determinants of review helpfulness. In two studies, we examine the effects of review characteristics, product type, and reviewer characteristics on perceived review helpfulness. With data collected from a real online retailer, we provide empirical evidence to support our conceptual predictions. Specifically, both review valence and length have positive effects on review helpfulness, but the product type (i.e., experiential vs. utilitarian product) moderates these effects. Using content analysis of reviews, we develop a measure of expressed reviewer innovativeness (i.e., the predisposition toward new products as revealed in review content). A curvilinear relationship exists between expressed reviewer innovativeness and review helpfulness. These findings lead to pertinent managerial implications.     

The Recipe for the Perfect Review?

Online product reviews, originally intended to reduce consumers’ pre-purchase search and evaluation costs, have become so numerous that they are now themselves a source for information overload. To help consumers find high-quality reviews faster, review rankings based on consumers’ evaluations of their helpfulness were introduced. But many reviews are never evaluated and never ranked. Moreover, current helpfulness-based systems provide little or no advice to reviewers on how to write more helpful reviews. Average review quality and consumer search costs could be much improved if these issues were solved. This requires identifying the determinants of review helpfulness, which we carry out based on an adaption of Wang and Strong’s well-known data quality framework. Our empirical analysis shows that review helpfulness is influenced not only by single-review features but also by contextual factors expressing review value relative to all available reviews. Reviews for experiential goods differ systematically from reviews for utilitarian goods. Our findings, based on 27,104 reviews from Amazon.com across six product categories, form the basis for estimating preliminary helpfulness scores for unrated reviews and for developing interactive, personalized review writing support tools.     

Cutting Through the Online Review Jungle — Investigating Selective eWOM Processing

Consumers frequently rely on online reviews, a prominent form of electronic word-of-mouth (eWOM), before making a purchase decision. However, consumers are usually confronted with hundreds of reviews for a single product or service, as well as rich information cues on online review websites (review texts, helpfulness ratings, author information, etc.). In turn, consumers face more information cues on online review websites than they can or want to process, and are likely to proceed selectively. This paper investigates selective processing of such eWOM information cues. Results of Study 1, an exploratory study using verbal protocols, confirm that consumers display selective eWOM processing patterns and are able to articulate them. Study 2 develops and applies a measurement instrument to capture these patterns. A subsequent cluster analysis on members of a large-scale online panel (N = 2,295) indicates five prominent eWOM processing types, termed “The Efficients”, “The Meticulous”, “The Quality-Evaluators”, “The Cautious Critics”, and “The Swift Pessimists”. Insights of this research can help firms to better understand consumers' eWOM processing and improve the user-friendliness of online review websites.     

Why should I believe this? Deciphering the qualities of a credible online customer review

Online customer reviews have been shown to have a powerful impact on the sales of a given product or service. However, the qualities of a ‘credible’ online customer review are still subject to debate. Existing research has highlighted the potential influence of a range of factors on the credibility of an online customer review, but relies heavily on quantitative methods and a ‘top down’ approach. In turn, this can reduce our understanding of the influence of these factors into merely discerning whether one pre-determined factor is more influential than another is. This paper adopted a ‘bottom up’ thematic analysis of individual qualitative interviews with a purposeful sample of consumers who regularly utilised online customer reviews. The findings uncovered a range of factors that influenced the credibility of an online customer review that were attached to a reader’s personal experience and to the content of a specific review, and inferred the existence of a reciprocal relationship between the constructs of review helpfulness and review credibility.     

Personalized managerial response and negative inconsistent review helpfulness: The mediating effect of perceived response helpfulness

Understanding the effect of managerial response on online review management has attracted the attention of scholars in recent years. However, the effect of personalized managerial response on the negative inconsistent review is a lack of evidence. This study investigates how personalized managerial responses influence negative review helpfulness according to the various levels of review inconsistency and the underlying mechanism behind the effect. We adopted a secondary data analysis based on the TripAdvisor dataset and used an online experiment study to investigate the impact mechanism. Findings reveal that the personalized managerial response positively influences review helpfulness, review inconsistency (negative rating with positive textual sentiment) moderates the effect of personalized managerial response on review helpfulness, and perceived response helpfulness mediates the above relationships. More specifically, personalized managerial response to negative inconsistent reviews has a pronounced effect on consumers’ perception of response helpfulness and their evaluation of review helpfulness. This study improves the current understanding of managerial responses, and provides practical guidance for hoteliers, consumers, and travel websites.     

The informational value of multi-attribute online consumer reviews: A text mining approach

In the digital age, customers use online reviews to minimize the risks associated with purchasing a product. Major online retailers help customers choose the right product by exposing reviews that received many “helpful” votes at the top of the review section. Given that reviews that have received the maximum helpfulness votes are considered more important in purchase decisions, understanding determinants of helpfulness votes offers clear benefits to online retailers and review platforms. This study focuses on the effect of review informativeness, which is measured by the number of attributes discussed in a review, and its interplay of review valence on customers' perception of review helpfulness. We applied a word-level bigram analysis to derive product attributes from review text and examined the influence of the number of attributes on the review's helpfulness votes. More importantly, we also suggested the moderating role of review valence. Estimation results of the Zero-inflated Poisson models on 21,125 reviews across 14 wireless earbuds indicated that as more attributes are discussed in a review, the more the review can earn helpfulness votes from customers. Furthermore, the positive association between the number of attributes and helpfulness was enhanced among negative reviews. This study contributes to customers' information processing literature and offers guidelines to online retailers in designing a better decision support system.     

Exploring the influence of online reviews and motivating factors on sales: A meta-analytic study and the moderating role of product category

Online reviews, which significantly influence product sales, have been a central research topic in the field of marketing. Meanwhile, some motivating factors related to online retailers have been linked to product sales. While several articles have examined the impact between online reviews and motivating factors on product sales, many of the conclusions drawn are contradictory. From 28 studies focusing on online reviews and sales, this study performs a meta-analysis to analyze the true impacts of six review-related factors (i.e., the number of reviews, star ratings, standard deviation of ratings, helpfulness, review length and sentiment), and two motivating factors (i.e., price discounts and special shipping) on product sales. Meanwhile, this paper also studies how one product-related factor (i.e., product age) and one reviewer-related factor (i.e., reviewer's reputation) influence the relationship between online reviews and product sales. In addition, to study the moderating effect of product category, we divide the selected literature into two subgroups which are search and experience products. The results indicate that only review length and special shipping have no significant impact on product sales, while product category has a valid and specific moderating effect on the relationship between these determinants and sales. The presented conclusions will have important implications for academic research and for future industry practice.     

The Effects of Negatively Valenced Emotional Expressions in Online Reviews on the Reviewer,the Review,and the Product

The authors examine the effects of negatively valenced emotional expressions (NVEE; e.g., intense language, all caps, exclamation points, emoticons) in online reviews and reveal important boundary conditions for their effects. Specifically, Study 1 showed that NVEE directly promote review helpfulness and damage attitude toward the product when used by experts. In contrast, for novices, their use of NVEE was considered a poor reflection on them and failed to directly affect attitude toward the product. Further, attributions of reviewer rationality and trustworthiness were positively associated with review helpfulness and attitude toward the product. Interestingly, language complexity is a trigger to reverse the effects, as found in Study 2. For novices (experts), the adverse effect on trustworthiness is eliminated (introduced) but the adverse effect on attitude toward the product is introduced (eliminated) when they include more complex language accompanied by NVEE in their online reviews. Both studies uncover when source discounting is active for experts and novices, making them equally influential in some cases. Theoretical and managerial implications are provided.     

Managing Negative Reviews: The Persuasive Role of Webcare Characteristics

This article provides insight into a less investigated area that deals with marketers’ responses to negative reviews—a phenomenon known as webcare. Specifically, it examines the effects of (a) salient webcare characteristics like strength and timeliness on consumer forgiveness in the presence of review helpfulness as a moderator, and (b) forgiveness on consumers’ cognitive, affective, and conative loyalty. A 2 (webcare strength: strong vs. weak)?×?2 (webcare timeliness: timely vs. delayed)?×?2 (review helpfulness: high vs. low) between-subjects experiment in a fictitious casual dining restaurant context reveals that webcare timeliness and strength of webcare play affect consumer forgiveness positively which subsequently affects consumer loyalty. These findings are distinctive from previous research because it opens up a new area that deals with managers’ responses to negative reviews. It also explores how the detrimental effects of these reviews can be reduced by manipulating salient characteristics of managers’ responses, i.e., webcare.     

The effects of eWOM characteristics on consumer ratings: evidence from TripAdvisor.com

Abstract

Given the rise of online review communities, the management of consumer ratings has gained much attention in the recent years. In this study, we use data from Tripadvisor.com and examine the number of stars that a review receives. Specifically, we address how a star rating is determined by the components in the focal review as well as the preceding reviews of other consumers. Our qualitative and quantitative analyses provide interesting findings as follows. A star rating has a positive relationship with the focal review’s valence. That is, the more positive a review is, the greater number of stars a review receives. The reviews of other consumers also play a role in determining a star rating of the focal review suggesting social influence among consumers. Interestingly, a review with lengthy content leads to a lower star rating only when using smartphones. We conclude with theoretical and managerial implications.     

TOOR: A Novel Product Title Optimization Method Based on Online Reviews in E-commerce

Titles of online products play an important role in attracting consumers and promoting product sales in e-commerce. However, current online product titles only cover basic features and cannot reflect the preferences of consumers exactly. To address this problem, this research proposed an online title optimization method based on the analysis of online reviews, which is called TOOR (Title Optimization based on Online Reviews). In this research, we analyzed and compared product features extracted from online product titles and online reviews from the point of view of consumers and applied features extracted from reviews to title optimization. In order to verify the effectiveness of the proposed method, two experiments were conducted in this paper, selecting four typical smartphones as experiment samples and Taobao.com as the data resources. The experimental results indicated that features extracted from online reviews can better reflect the consumers’ concern, and the titles optimized by the TOOR method are more appealing to consumers and have higher click-through rates.     

Online Shopper Reviews: Ramifications for Promotion and Website Utility

Today's consumers are empowered with online shopper reviews which are mostly written and posted by buyers, customers, users, or visitors at a website. Shopper reviews will become more popular and ubiquitous in e-tailing in the near future. However, the marketing literature is still limited when it comes to knowledge of how shoppers perceive and use online reviews in their purchase decisions. Hence, this study explored shoppers’ predispositions toward positive or negative reviews and examined the impact of consumers’ attitudes and usage patterns on their perceived helpfulness and credibility of online shopper/peer reviews. One interesting finding from our study of 342 online shoppers was that consumers who would pay greater attention to positive reviews gave reviews more credible and usefulness ratings than their counterparts who would focus on the negative reviews.     

When does electronic word-of-mouth matter? A study of consumer product reviews

Online consumer product reviews, a form of electronic word-of-mouth (eWOM), have attracted increased attention from researchers. This paper examines the persuasiveness of eWOM. Drawing on regulatory focus theory, the authors propose that the consumption goals that consumers associate with the reviewed product moderate the effect of review valence on persuasiveness. Data from lab experiments and actual online retailers suggest that consumers who evaluate products associated with promotion consumption goals perceive positive reviews to be more persuasive than negative ones (i.e., a positivity bias). Conversely, consumers who evaluate products associated with prevention consumption goals perceive negative reviews to be more persuasive than positive ones (i.e., a negativity bias).     

Searching online and buying offline: Understanding the role of channel-, consumer-, and product-related factors in determining webrooming intention

In recent times, the increasing accessibility of mobile technology has led to changes in consumers’ purchasing behavior. Despite the gloom and doom hearsay about how electronic commerce is threatening the existence of brick-and-mortar stores, by some indications, however, webrooming (i.e., the practice of researching items online, and then buying them offline) may be an even more common practice among shoppers. Against this background, this study proposes and empirically validates a comprehensive research model which incorporates consumer traits (i.e., need for touch, need for interaction, and price-comparison orientation), channel-related factors (i.e., online search convenience, perceived usefulness of online reviews, perceived helpfulness of in-store salespeople, and perceived risk of buying online), and smart shopping perception as antecedents of webrooming intention. Moreover, this study examines the moderating role of product category in predicting webrooming intention. A questionnaire-based survey was conducted. A total of 280 useable responses was collected and data was analyzed using partial least square structural equation modeling. The findings revealed significant direct and/or indirect effects (through smart shopping perception) of consumer traits and channel-related factors on webrooming intention. In addition, product category was found to moderate the relationship between price-comparison orientation, online search convenience, perceived risk, and webrooming intention. Theoretical and practical implications are discussed.     

普通消费者口碑和专家评论对消费者购买决策的影响研究

在线评论作为营销信息中新的要素，已成为当下消费者购买产品或服务时的重要因素。文章根据获得诊断性模型和调节导向理论，引入自我调节导向作为调节变量，探讨在线评论信息源对品牌评价和购买意愿的影响。文章采用情境模拟实验方法，考察了普通消费者口碑和专家评论对消费者的品牌评价和购买意愿具有不同的影响。具体来说当消费者处于促进调节导向时，普通消费者口碑比专家评论更容易使消费者产生良好的品牌评价和购买意愿；当消费者处于预防调节导向时，专家评论比普通消费者口碑更容易使消费者产生良好的品牌评价和购买意愿，其中感知诊断性在这个过程中起到中介作用。文章整合了不同领域的理论，拓宽了不同来源的在线评论对消费者影响的理解力，而且研究结论对网站的营销人员如何管理在线评论有一定的启示意义。     

The 2.0 Critic: Blended Discourses in Blogging

Although traditional critics remain a reliable source, they are losing influence to online reviews produced by technology-empowered consumers. This study aims to analyze this new form of critic that have emerged with Web 2.0 and who post technical reviews based on personal experiences. We conducted a qualitative study, following netnographic and content analysis protocols in a case study of the Brazilian blog 2Beauty.com.br, which has product reviews as core content. As a contribution, we define the 2.0 Critic and its composed narrative forms—Friend, Salesperson, Connoisseur, Hacker and Examiner—which point to an expert alternative position in the ecosystem.     

Perceived helpfulness of eWOM: Emotions,fairness and rationality

Consumers use online reviews to help make informed purchase decisions. This paper extends existing research by examining how content of online reviews influences perceptions of helpfulness by demonstrating how different emotions can influence helpfulness of both product and service online reviews beyond a valence-based approach using cognitive appraisal theory and attribution theory. This research contributes to existing knowledge regarding the theory of information processing, attribution theory, and cognitive appraisal theory of emotions. Using findings from this study, practitioners can make review websites more user-friendly which will help readers avoid information overload and make more informed purchase decisions.     

Too Popular to Ignore: The Influence of Online Reviews on Purchase Intentions of Search and Experience Products

Consumers assess the credibility of online product reviews to guide their purchase decisions. However, little is known about how consumers determine the credibility of online product reviews. This article examines the effect of the level of detail in a product review and the level of reviewer agreement with it on the credibility of a review and consumers' purchase intentions for search and experience products. Overall, the results indicate that more credible reviews lead to higher purchase intentions. Interestingly, the findings also demonstrate that consumers determine the credibility of a review differently for search and experience products. For search products, consumers deem online reviews to be more credible when the reviews contain detailed information about the product. However, for experience products, consumers determine the credibility of a review by assessing the level of reviewer agreement with a review. The lack of diagnosticity of detailed information in online reviews of experience products is attributed to the idiosyncratic nature of experiences. Implications for research and practice are discussed.